Karten

Maps

|data_name           |description                                                                         |
|:-------------------|:-----------------------------------------------------------------------------------|
|municipal_unharm    |Local elections at the municipal level (1990-2020, unharmonized).                   |
|municipal_harm      |Local elections at the municipal level (1990-2020, harmonized).                     |
|state_unharm        |State elections at the municipal level (2006-2019, unharmonized).                   |
|state_harm          |State elections at the municipal level (2006-2019, harmonized).                     |
|federal_muni_raw    |Federal elections at the municipal level (1980-2021, raw data).                     |
|federal_muni_unharm |Federal elections at the municipal level (1980-2021, unharmonized).                 |
|federal_muni_harm   |Federal elections at the municipal level (1990-2021, harmonized).                   |
|federal_cty_unharm  |Federal elections at the county level (1953-2021, unharmonized).                    |
|federal_cty_harm    |Federal elections at the county level (1990-2021, harmonized).                      |
|ags_crosswalks      |Crosswalks for municipalities (1990-2021).                                          |
|cty_crosswalks      |Crosswalks for counties (1990-2021).                                                |
|ags_area_pop_emp    |Crosswalk covariates (area, population, employment) for municipalities (1990-2021). |
|cty_area_pop_emp    |Crosswalk covariates (area, population, employment) for counties (1990-2021).       |

Zeigen von Kreisen, wo es sehr eng war

Alternativen

Bild von storymaps.

Kartogramm

library(cartogram)

## Ansonsten mit county oder sogar nur Bundesland?

cartogram_dat <- cartogram_cont(geom_elect_max,
                 weight = "number_voters")

saveRDS(here::here("sessions", "good_plots", "data", "cartogram_dat.rds"))
# https://r-charts.com/spatial/cartogram-ggplot2/

library(cartogram)

readRDS(here::here("sessions", "good_plots", "data", "cartogram_dat.rds"))

ggplot(cartogram_dat) +
  geom_sf()

Von Costamiri - Eigenes WerkMap based on: Shapefiles by bundeswahlleiterin.de (Geometrie der Wahlkreise im Koordinatensystem UTM32 generalisiert) © Die Bundeswahlleiterin, Statistisches Bundesamt, Wiesbaden 2024, Wahlkreiskarte für die Wahl zum 21. Deutschen Bundestag; Grundlage der Geoinformationen © Geobasis-DE / BKG 2024Data based on: Bundestagswahl 2025: Open-Data-Angebot der Bundeswahlleiterin by bundeswahlleiterin.de, CC BY-SA 4.0, Link

:::{.column width=“50%}

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Grafiken von zeit.de.